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The Multivariate Asymptotic Non-parametric Test of Association (MANTA) enables non-parametric, asymptotic P-value computation for multivariate linear models. MANTA relies on the asymptotic null distribution of the PERMANOVA test statistic. P-values are computed using a highly accurate approximation of the corresponding cumulative distribution function. Garrido-Martín et al. (2022) <doi:10.1101/2022.06.06.493041>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.3.2) |
| Suggests: | testthat |
| Published: | 2023-10-10 |
| Author: | Diego Garrido-Martín [aut, cre], Ferran Reverter [aut], Miquel Calvo [aut], Roderic Guigó [aut] |
| Maintainer: | Diego Garrido-Martín <dgarrido at ub.edu> |
| BugReports: | https://github.com/dgarrimar/manta/issues |
| License: | GPL-3 |
| URL: | https://github.com/dgarrimar/manta |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | manta results |
| Reference manual: | manta.pdf |
| Package source: | manta_1.0.1.tar.gz |
| Windows binaries: | r-devel: manta_1.0.1.zip, r-release: manta_1.0.1.zip, r-oldrel: manta_1.0.1.zip |
| macOS binaries: | r-release (arm64): manta_1.0.1.tgz, r-oldrel (arm64): manta_1.0.1.tgz, r-release (x86_64): manta_1.0.1.tgz, r-oldrel (x86_64): manta_1.0.1.tgz |
| Old sources: | manta archive |
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